Integrate the Zep API with the Python API

Setup the Zep API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zep and Python remarkably fast. Free for developers.

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Popular Ways to Connect Zep with Python#

Run Python Code with Python API on New Message in Session from Zep API

Zep + Python

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Run Python Code with Python API on New Session Created from Zep API

Zep + Python

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Run Python Code with Python API on Session Updated from Zep API

Zep + Python

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Popular Zep and Python Triggers#

New Message in Session from the Zep API

Emit new event when a message is added to a session. See the documentation

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New Session Created from the Zep API

Emit new event when a new session is created in Zep. See the documentation

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Session Updated from the Zep API

Emit new event when an existing session is updated. See the documentation

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Popular Zep and Python Actions#

Add Memory to Session with the Zep API

Adds memory to an existing session in Zep. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Add User with the Zep API

Adds a user in Zep. See the documentation

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Create Session with the Zep API

Creates a new session in Zep. See the documentation

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Update Session with the Zep API

Updates an existing session in Zep. See the documentation

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Connect Zep#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zep: {
      type: "app",
      app: "zep",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getzep.com/api/v2/users-ordered`,
      headers: {
        "authorization": `Api-Key ${this.zep.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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